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# Set Census API key
census_api_key("3aaee31789e10b674a531e9f236c35d5394b19ed")To install your API key for use in future sessions, run this function with `install = TRUE`.Philadelphia Demographics
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philadelphia_svi <- find_svi(year = 2022, state = "PA", geography = "tract")Getting data from the 2018-2022 5-year ACSFetching data by table type ("B/C", "S", "DP") and combining the result.✔ Finished retrieving census data for 2022 PA✔ Finished summarising theme-specific and overall SVI. For all variables, set 'full.table = TRUE'Code
# Filter for Philadelphia County (FIPS code for Philadelphia County is 42101)
philadelphia_svi <- subset(philadelphia_svi, grepl("^42101", GEOID))Code
map_tracts <- left_join(map_tracts, philadelphia_svi, by = "GEOID") %>%
mutate(pop_density = pop_total / area_mi)NOTE: Hispanic, Native American, Pacific Islander, and Drop Out percentages are colored numerically and represent absolute values on a continuous scale.
Means only extreme outliers will show darker colors, this is because they didn’t have enough observations to color by quantiles.
All other maps are colored by quantiles. You’ll be able to see the absolute value by hovering and clicking on the tract. This is better for identifying clusters and comparing different areas.